{
 "metadata": {
  "description": "Use the pre-trained ImageNet model to classify images with the Python interface.",
  "name": "ImageNet Classification",
  "include_in_docs": true
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Classifying ImageNet: the instant Caffe way\n",
      "===========================================\n",
      "\n",
      "Caffe provides a general Python interface for models with `caffe.Net` in `python/caffe/pycaffe.py`, but to make off-the-shelf classification easy we provide a `caffe.Classifier` class and `classify.py` script. Both Python and MATLAB wrappers are provided. However, the Python wrapper has more features so we will describe it here. For MATLAB, refer to `matlab/caffe/matcaffe_demo.m`.\n",
      "\n",
      "Before we begin, you must compile Caffe and install the python wrapper by setting your `PYTHONPATH`. If you haven't yet done so, please refer to the [installation instructions](installation.html). This example uses our pre-trained ImageNet model, an ILSVRC12 image classifier. You can download it (232.57MB) by running `examples/imagenet/get_caffe_reference_imagenet_model.sh`. Note that this pre-trained model is licensed for academic research / non-commercial use only.\n",
      "\n",
      "Ready? Let's start."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "import matplotlib.pyplot as plt\n",
      "%matplotlib inline\n",
      "\n",
      "import caffe\n",
      "\n",
      "caffe_root = '../'  # this file is expected to be in {caffe_root}/examples\n",
      "\n",
      "# Set the right path to your model definition file, pretrained model weights,\n",
      "# and the image you would like to classify.\n",
      "MODEL_FILE = 'imagenet/imagenet_deploy.prototxt'\n",
      "PRETRAINED = 'imagenet/caffe_reference_imagenet_model'\n",
      "IMAGE_FILE = 'images/cat.jpg'"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Loading a network is easy. `caffe.Classifier` takes care of everything. Note the arguments for configuring input preprocessing: mean subtraction switched on by giving a mean file, input channel swapping takes care of mapping RGB into the reference ImageNet model's BGR order, and input scaling multiplies the feature scale from the input [0,1] to [0,255]."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "net = caffe.Classifier(MODEL_FILE, PRETRAINED,\n",
      "                       mean_file=caffe_root + 'python/caffe/imagenet/ilsvrc_2012_mean.npy',\n",
      "                       channel_swap=(2,1,0),\n",
      "                       input_scale=255)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We will set the phase to test since we are doing testing, and will first use CPU for the computation."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "net.set_phase_test()\n",
      "net.set_mode_cpu()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Let's take a look at our example image with Caffe's image loading helper."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "input_image = caffe.io.load_image(IMAGE_FILE)\n",
      "plt.imshow(input_image)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "<matplotlib.image.AxesImage at 0xa7ebfd0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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CGz2I6GEUheHG9DIS4f13V9KSycT3Vw14CDfMB3pdN3EgRSW4HXoeBGUQx4Ef+3XPCanO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\nMZX4O/OUkKSsrXFeYrzgdQ5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VTTG3Y79uagVhAFurUb6yDlvunjzimUtLnBJrsdEKnGbQ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K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\n5+crK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hg4za+43F6waRuscignebT5NK3ZoJstsnc0jSWXiRAn5ilymkfe+94zZGN49OQB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XIjuDeR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\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       "text": [
        "<matplotlib.figure.Figure at 0x3fb41d0>"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Time to classify. The default is to actually do 10 predictions, cropping the center and corners of the image as well as their mirrored versions, and average over the predictions:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "prediction = net.predict([input_image])  # predict takes any number of images, and formats them for the Caffe net automatically\n",
      "print 'prediction shape:', prediction[0].shape\n",
      "plt.plot(prediction[0])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "prediction shape: (1000,)\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "[<matplotlib.lines.Line2D at 0xc8b1bd0>]"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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       "text": [
        "<matplotlib.figure.Figure at 0xa7f9290>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now let's classify by the center crop alone by turning off oversampling. Note that this makes a single input, although if you inspect the model definition prototxt you'll see the network has a batch size of 10. The python wrapper handles batching and padding for you!"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "prediction = net.predict([input_image], oversample=False)\n",
      "print 'prediction shape:', prediction[0].shape\n",
      "plt.plot(prediction[0])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "prediction shape: (1000,)\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "[<matplotlib.lines.Line2D at 0xc8e7090>]"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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       "text": [
        "<matplotlib.figure.Figure at 0xc8b9550>"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "You can see that the prediction is 1000-dimensional, and is pretty sparse.\n",
      "\n",
      "Our pretrained model uses the synset ID ordering of the classes, as listed in `../data/ilsvrc12/synset_words.txt` if you fetch the auxiliary imagenet data by `../data/ilsvrc12/get_ilsvrc_aux.sh`. If you look at the top indices that maximize the prediction score, they are foxes, cats, and other cute mammals. Not unreasonable predictions, right?\n",
      "\n",
      "Now, why don't we see how long it takes to perform the classification end to end? This result is run from an Intel i5 CPU, so you may observe some performance differences."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%timeit net.predict([input_image])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1 loops, best of 3: 492 ms per loop\n"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "It may look a little slow, but note that time is spent on cropping, python interfacing, and running 10 images. For performance, if you really want to make prediction fast, you can optionally code in C++ and pipeline operations better. For experimenting and prototyping the current speed is fine.\n",
      "\n",
      "Let's time classifying a single image with input preprocessed:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Resize the image to the standard (256, 256) and oversample net input sized crops.\n",
      "input_oversampled = caffe.io.oversample([caffe.io.resize_image(input_image, net.image_dims)], net.crop_dims)\n",
      "# 'data' is the input blob name in the model definition, so we preprocess for that input.\n",
      "caffe_input = np.asarray([net.preprocess('data', in_) for in_ in input_oversampled])\n",
      "# forward() takes keyword args for the input blobs with preprocessed input arrays.\n",
      "%timeit net.forward(data=caffe_input)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1 loops, best of 3: 327 ms per loop\n"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "OK, so how about GPU? it is actually pretty easy:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "net.set_mode_gpu()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Voila! Now we are in GPU mode. Let's see if the code gives the same result:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "prediction = net.predict([input_image])\n",
      "print 'prediction shape:', prediction[0].shape\n",
      "plt.plot(prediction[0])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "prediction shape: (1000,)\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "[<matplotlib.lines.Line2D at 0xcbba250>]"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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RaWpq6lXm9ddfN8uWLTPGGLNv3z6zaNEiY4wxnZ2d5uzZs8YYY86dO2fuuOMO85e//KXP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\n+LICF1LUgWkAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0xa686ed0>"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Good, everything is the same. And how about time consumption? The following benchmark is obtained on the same machine with a K20 GPU:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Full pipeline timing.\n",
      "%timeit net.predict([input_image])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "10 loops, best of 3: 192 ms per loop\n"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Forward pass timing.\n",
      "%timeit net.forward(data=caffe_input)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "10 loops, best of 3: 25.2 ms per loop\n"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Pretty fast right? Not as fast as you expected? Indeed, in this python demo you are seeing only 4 times speedup. But remember - the GPU code is actually very fast, and the data loading, transformation and interfacing actually start to take **more** time than the actual convnet computation itself!\n",
      "\n",
      "To fully utilize the power of GPUs, you really want to:\n",
      "\n",
      "* Use larger batches, and minimize python call and data transfer overheads.\n",
      "* Pipeline data load operations, like using a subprocess.\n",
      "* Code in C++. A little inconvenient, but maybe worth it if your dataset is really, really large."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Parting Words\n",
      "-------------\n",
      "\n",
      "So this is python! We hope the interface is easy enough for one to use. The python wrapper is interfaced with boost::python, and source code can be found at `python/caffe` with the main interface in `pycaffe.py` and the classification wrapper in `classifier.py`. If you have customizations to make, start there! Do let us know if you make improvements by sending a pull request!"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}
